Alert button
Picture for Masanori Koyama

Masanori Koyama

Alert button

Optuna: A Next-generation Hyperparameter Optimization Framework

Jul 25, 2019
Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama

Figure 1 for Optuna: A Next-generation Hyperparameter Optimization Framework
Figure 2 for Optuna: A Next-generation Hyperparameter Optimization Framework
Figure 3 for Optuna: A Next-generation Hyperparameter Optimization Framework
Figure 4 for Optuna: A Next-generation Hyperparameter Optimization Framework
Viaarxiv icon

A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation

May 28, 2019
Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama

Figure 1 for A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
Figure 2 for A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
Figure 3 for A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
Figure 4 for A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
Viaarxiv icon

Robustness to Adversarial Perturbations in Learning from Incomplete Data

May 24, 2019
Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato

Figure 1 for Robustness to Adversarial Perturbations in Learning from Incomplete Data
Figure 2 for Robustness to Adversarial Perturbations in Learning from Incomplete Data
Figure 3 for Robustness to Adversarial Perturbations in Learning from Incomplete Data
Figure 4 for Robustness to Adversarial Perturbations in Learning from Incomplete Data
Viaarxiv icon

Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks

Apr 02, 2019
Katsuhiko Ishiguro, Shin-ichi Maeda, Masanori Koyama

Figure 1 for Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks
Figure 2 for Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks
Figure 3 for Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks
Figure 4 for Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks
Viaarxiv icon

A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning

Feb 08, 2019
Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama

Figure 1 for A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning
Figure 2 for A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning
Figure 3 for A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning
Viaarxiv icon

Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration

Nov 26, 2018
Ryohei Suzuki, Masanori Koyama, Takeru Miyato, Taizan Yonetsuji

Figure 1 for Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
Figure 2 for Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
Figure 3 for Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
Figure 4 for Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
Viaarxiv icon

cGANs with Projection Discriminator

Aug 15, 2018
Takeru Miyato, Masanori Koyama

Figure 1 for cGANs with Projection Discriminator
Figure 2 for cGANs with Projection Discriminator
Figure 3 for cGANs with Projection Discriminator
Figure 4 for cGANs with Projection Discriminator
Viaarxiv icon

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Jun 27, 2018
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii

Figure 1 for Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Figure 2 for Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Figure 3 for Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Figure 4 for Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Viaarxiv icon